ID 原文 译文
17115 然后使用GPI算法估计信道多普勒及各路径的时延及幅度参数，实现低复杂度稀疏信道估计。 Then the GPI algorithm is utilized to estimate the channel parameters.
17116 此外，该文将GPI算法扩展到Turbo接收机中，通过利用信道译码器反馈的数据符号先验信息迭代提高信道估计精度。 Furthermore, the GPI algorithm is extended to Turbo receivers to iteratively improve the channel estimation accuracy.
17117 仿真结果表明，所提方法的性能优于传统的路径识别算法，且与OMP算法接近，而其计算量远低于后者。 Simulation results show that the performance of the proposed method is better than that of the conventional path identification algorithm, and is close to the Orthogonal Matching Pursuit (OMP) algorithm.
17118 当合成孔径雷达(SAR)工作在俯冲段大斜视模式时，面临着斜视角沿距离向空变、距离-方位耦合严重以及3维速度与加速度带来扰动等问题，导致回波存在着严重的距离徙动(RCM)和多普勒相位的2维空变。 Its computational complexity,however, is much lower than OMP algorithm. In the case of diving highly squinted Synthetic Aperture Radar (SAR), the existence of range-dependent squint angle, severe range-azimuth coupling, three-Dimensional (3-D) velocity and accelerationproduces two-Dimensional (2-D) spatial-variant Range Cell Migration (RCM) and Doppler phases.
17119 针对这些问题，该文构建了一种用于精确描述俯冲段大斜视SAR回波距离-方位空变特性的3维等距球体解析模型。 To accommodate these issues, this paper constructs a 3-D equidistant sphere analytical model to precisely revealthe range-azimuth variant property of the echo.
17120 基于该模型，提出一种去除方位空变残余高阶RCM的校正方法，并重新推导了去除多普勒相位方位空变的频域拓展非线性变标(FENLCS)方法，结合子孔径处理方式解决了SAR工作在俯冲段大斜视模式下所面临问题。 Based on the model, an azimuth-variant residual high-orderRCM correction is proposed, and the Frequency Extended NonLinear Chirp Scaling (FENLCS) is rederived toequalize the azimuth-variant Doppler phases. These two methods integrated with SubAperture (SA) processingare adopted to address the aforementioned issues faced by diving highly squinted SAR.
17121 理论分析和仿真结果证明，该文构建的模型对于回波的距离-方位空变特性有着更精确的描述，且所提算法具有更好的成像效果。 Theoretical analysis and simulation results validate that the proposed model is capable of describing the range-azimuth spatial-variance property of echo more precisely, and better imaging performance can be acquired by this algorithm.
17122 水下传感网络静默定位方法是一种可服务于多用户的免时钟同步定位算法，待定位节点全程无需发声，具有隐蔽性强和方便扩展等优点。 The silent location algorithm for underwater sensor network is a time-synchronization free algorithmthat can serve multiple users. No sound is needed of the target node in the whole process which make thealgorithm secluded and extended.
17123 该文提出了一种结合声线跟踪技术的水下传感网络节点静默定位方法，将高斯-牛顿法引入到水下网络节点静默定位中，解决了已有方法存在定位盲区的问题。 In this paper, a silent location algorithm for underwater sensor network basedon ray-tracing technology is proposed. The problem of location blind area in the existing methods is solved byintroducing the Gauss-Newton method into the algorithm proposed.
17124 鉴于水中声速分布不均的情况，将声线跟踪技术融入迭代过程，用以修正声线弯曲带来的定位误差。 In view of the uneven distribution of soundvelocity in water, the ray-tracing technology is integrated into the iterative process to correct the positioningerror caused by the bending of the sound ray.